Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- get_data/.ipynb_checkpoints/get_wiki1-checkpoint.ipynb +1422 -0
- get_data/get_wiki1.ipynb +1422 -0
- train_data/.ipynb_checkpoints/test-checkpoint.txt +0 -0
- train_data/de_wiki_4g.txt +3 -0
- train_data/dna_4g.txt +3 -0
- train_data/en_wiki_4g.txt +3 -0
- train_data/es_wiki_4g.txt +3 -0
- train_data/fr_wiki_4g.txt +3 -0
- train_data/gene_eng.txt +3 -0
- train_data/gene_eng_zh.txt +3 -0
- train_data/gene_eng_zh_de_es.txt +3 -0
- train_data/ja_wiki_4g.txt +3 -0
- train_data/ko_wiki_4g.txt +3 -0
- train_data/protein_4g.txt +3 -0
- train_data/test.txt +0 -0
- train_data/zh_wiki_4g.txt +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 36 |
+
train_data/de_wiki_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 37 |
+
train_data/dna_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 38 |
+
train_data/en_wiki_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 39 |
+
train_data/es_wiki_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 40 |
+
train_data/fr_wiki_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 41 |
+
train_data/gene_eng.txt filter=lfs diff=lfs merge=lfs -text
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| 42 |
+
train_data/gene_eng_zh.txt filter=lfs diff=lfs merge=lfs -text
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| 43 |
+
train_data/gene_eng_zh_de_es.txt filter=lfs diff=lfs merge=lfs -text
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| 44 |
+
train_data/ja_wiki_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 45 |
+
train_data/ko_wiki_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 46 |
+
train_data/protein_4g.txt filter=lfs diff=lfs merge=lfs -text
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| 47 |
+
train_data/zh_wiki_4g.txt filter=lfs diff=lfs merge=lfs -text
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get_data/.ipynb_checkpoints/get_wiki1-checkpoint.ipynb
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|
| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": 1,
|
| 6 |
+
"id": "163a0ec0-2003-40f8-bf8a-63c1146f9130",
|
| 7 |
+
"metadata": {},
|
| 8 |
+
"outputs": [
|
| 9 |
+
{
|
| 10 |
+
"data": {
|
| 11 |
+
"text/plain": [
|
| 12 |
+
"\"\\nimport os\\n\\n# 设置环境变量\\nos.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'\\n\\n# 打印环境变量以确认设置成功\\nprint(os.environ.get('HF_ENDPOINT'))\\n\""
|
| 13 |
+
]
|
| 14 |
+
},
|
| 15 |
+
"execution_count": 1,
|
| 16 |
+
"metadata": {},
|
| 17 |
+
"output_type": "execute_result"
|
| 18 |
+
}
|
| 19 |
+
],
|
| 20 |
+
"source": [
|
| 21 |
+
"import subprocess\n",
|
| 22 |
+
"import os\n",
|
| 23 |
+
"\n",
|
| 24 |
+
"result = subprocess.run('bash -c \"source /etc/network_turbo && env | grep proxy\"', shell=True, capture_output=True, text=True)\n",
|
| 25 |
+
"output = result.stdout\n",
|
| 26 |
+
"for line in output.splitlines():\n",
|
| 27 |
+
" if '=' in line:\n",
|
| 28 |
+
" var, value = line.split('=', 1)\n",
|
| 29 |
+
" os.environ[var] = value\n",
|
| 30 |
+
"\n",
|
| 31 |
+
"\"\"\"\n",
|
| 32 |
+
"import os\n",
|
| 33 |
+
"\n",
|
| 34 |
+
"# 设置环境变量\n",
|
| 35 |
+
"os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'\n",
|
| 36 |
+
"\n",
|
| 37 |
+
"# 打印环境变量以确认设置成功\n",
|
| 38 |
+
"print(os.environ.get('HF_ENDPOINT'))\n",
|
| 39 |
+
"\"\"\""
|
| 40 |
+
]
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"cell_type": "code",
|
| 44 |
+
"execution_count": 2,
|
| 45 |
+
"id": "4aa15036-4be6-44ac-be6d-83389ae07c5d",
|
| 46 |
+
"metadata": {},
|
| 47 |
+
"outputs": [],
|
| 48 |
+
"source": [
|
| 49 |
+
"# from datasets import load_dataset\n",
|
| 50 |
+
"\n",
|
| 51 |
+
"# # 加载特定语言的 Wikipedia 语料\n",
|
| 52 |
+
"# langs = [\"20220301.en\", \"20220301.fr\", \"20220301.de\", \"20220301.zh\", \"20220301.ja\"]\n",
|
| 53 |
+
"# datasets = {lang: load_dataset(\"wikimedia/wikipedia\", lang, split=\"train\") for lang in langs}"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"cell_type": "code",
|
| 58 |
+
"execution_count": 3,
|
| 59 |
+
"id": "02351414-fcad-44ba-964c-8ced0a88e609",
|
| 60 |
+
"metadata": {},
|
| 61 |
+
"outputs": [
|
| 62 |
+
{
|
| 63 |
+
"data": {
|
| 64 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 65 |
+
"model_id": "408855cc406d47a3a47803d00829febd",
|
| 66 |
+
"version_major": 2,
|
| 67 |
+
"version_minor": 0
|
| 68 |
+
},
|
| 69 |
+
"text/plain": [
|
| 70 |
+
"Loading dataset shards: 0%| | 0/41 [00:00<?, ?it/s]"
|
| 71 |
+
]
|
| 72 |
+
},
|
| 73 |
+
"metadata": {},
|
| 74 |
+
"output_type": "display_data"
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"data": {
|
| 78 |
+
"text/plain": [
|
| 79 |
+
"DatasetDict({\n",
|
| 80 |
+
" train: Dataset({\n",
|
| 81 |
+
" features: ['id', 'url', 'title', 'text'],\n",
|
| 82 |
+
" num_rows: 6458670\n",
|
| 83 |
+
" })\n",
|
| 84 |
+
"})"
|
| 85 |
+
]
|
| 86 |
+
},
|
| 87 |
+
"execution_count": 3,
|
| 88 |
+
"metadata": {},
|
| 89 |
+
"output_type": "execute_result"
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
"source": [
|
| 93 |
+
"from datasets import load_dataset\n",
|
| 94 |
+
"datasets_en = load_dataset(\"legacy-datasets/wikipedia\", \"20220301.en\")\n",
|
| 95 |
+
"datasets_en"
|
| 96 |
+
]
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"cell_type": "code",
|
| 100 |
+
"execution_count": 4,
|
| 101 |
+
"id": "f00a2e59-0aed-446e-9c7b-d21233bcdd1c",
|
| 102 |
+
"metadata": {},
|
| 103 |
+
"outputs": [],
|
| 104 |
+
"source": [
|
| 105 |
+
"wiki = open(\"en_wiki.txt\",\"w\")\n",
|
| 106 |
+
"for item in datasets_en[\"train\"]:\n",
|
| 107 |
+
" line = item[\"title\"] + \" \"+ item[\"text\"] + \"\\n\"\n",
|
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|
| 1229 |
+
"outputs": [],
|
| 1230 |
+
"source": [
|
| 1231 |
+
"wiki = open(\"es_wiki.txt\",\"w\")\n",
|
| 1232 |
+
"for item in datasets_wiki[\"train\"]:\n",
|
| 1233 |
+
" line = item[\"title\"] + \" \"+ item[\"text\"] + \"\\n\"\n",
|
| 1234 |
+
" wiki.write(line)\n",
|
| 1235 |
+
"wiki.close()"
|
| 1236 |
+
]
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"cell_type": "code",
|
| 1240 |
+
"execution_count": null,
|
| 1241 |
+
"id": "4d300900-2d36-4f21-a799-17b466239666",
|
| 1242 |
+
"metadata": {},
|
| 1243 |
+
"outputs": [],
|
| 1244 |
+
"source": []
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"cell_type": "code",
|
| 1248 |
+
"execution_count": 17,
|
| 1249 |
+
"id": "1d20d238-3015-443f-956a-ca1a7c622001",
|
| 1250 |
+
"metadata": {},
|
| 1251 |
+
"outputs": [
|
| 1252 |
+
{
|
| 1253 |
+
"data": {
|
| 1254 |
+
"text/plain": [
|
| 1255 |
+
"DatasetDict({\n",
|
| 1256 |
+
" train: Dataset({\n",
|
| 1257 |
+
" features: ['id', 'url', 'title', 'text'],\n",
|
| 1258 |
+
" num_rows: 1384748\n",
|
| 1259 |
+
" })\n",
|
| 1260 |
+
"})"
|
| 1261 |
+
]
|
| 1262 |
+
},
|
| 1263 |
+
"execution_count": 17,
|
| 1264 |
+
"metadata": {},
|
| 1265 |
+
"output_type": "execute_result"
|
| 1266 |
+
}
|
| 1267 |
+
],
|
| 1268 |
+
"source": [
|
| 1269 |
+
"datasets_wiki = load_dataset(\"wikimedia/wikipedia\", \"20231101.zh\")\n",
|
| 1270 |
+
"datasets_wiki"
|
| 1271 |
+
]
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"cell_type": "code",
|
| 1275 |
+
"execution_count": 18,
|
| 1276 |
+
"id": "eac16b65-44d1-43ae-9aeb-c06a470daf0e",
|
| 1277 |
+
"metadata": {},
|
| 1278 |
+
"outputs": [],
|
| 1279 |
+
"source": [
|
| 1280 |
+
"wiki = open(\"zh_wiki.txt\",\"w\")\n",
|
| 1281 |
+
"for item in datasets_wiki[\"train\"]:\n",
|
| 1282 |
+
" line = item[\"title\"] + \" \"+ item[\"text\"] + \"\\n\"\n",
|
| 1283 |
+
" wiki.write(line)\n",
|
| 1284 |
+
"wiki.close()"
|
| 1285 |
+
]
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"cell_type": "code",
|
| 1289 |
+
"execution_count": null,
|
| 1290 |
+
"id": "67c13fd3-ce11-41ce-8ca9-7d1d783310fb",
|
| 1291 |
+
"metadata": {},
|
| 1292 |
+
"outputs": [],
|
| 1293 |
+
"source": []
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"cell_type": "code",
|
| 1297 |
+
"execution_count": 19,
|
| 1298 |
+
"id": "8d4f223d-accc-44f5-acf3-5eca7621e960",
|
| 1299 |
+
"metadata": {},
|
| 1300 |
+
"outputs": [
|
| 1301 |
+
{
|
| 1302 |
+
"data": {
|
| 1303 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 1304 |
+
"model_id": "2b39607ab45b4449b96d05858de65c90",
|
| 1305 |
+
"version_major": 2,
|
| 1306 |
+
"version_minor": 0
|
| 1307 |
+
},
|
| 1308 |
+
"text/plain": [
|
| 1309 |
+
"train-00000-of-00003.parquet: 0%| | 0.00/400M [00:00<?, ?B/s]"
|
| 1310 |
+
]
|
| 1311 |
+
},
|
| 1312 |
+
"metadata": {},
|
| 1313 |
+
"output_type": "display_data"
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"data": {
|
| 1317 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 1318 |
+
"model_id": "c930ca1ff58a4ba2995158c1944335c2",
|
| 1319 |
+
"version_major": 2,
|
| 1320 |
+
"version_minor": 0
|
| 1321 |
+
},
|
| 1322 |
+
"text/plain": [
|
| 1323 |
+
"train-00001-of-00003.parquet: 0%| | 0.00/205M [00:00<?, ?B/s]"
|
| 1324 |
+
]
|
| 1325 |
+
},
|
| 1326 |
+
"metadata": {},
|
| 1327 |
+
"output_type": "display_data"
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"data": {
|
| 1331 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 1332 |
+
"model_id": "37654989816342af9a355a2cb6e770b4",
|
| 1333 |
+
"version_major": 2,
|
| 1334 |
+
"version_minor": 0
|
| 1335 |
+
},
|
| 1336 |
+
"text/plain": [
|
| 1337 |
+
"train-00002-of-00003.parquet: 0%| | 0.00/177M [00:00<?, ?B/s]"
|
| 1338 |
+
]
|
| 1339 |
+
},
|
| 1340 |
+
"metadata": {},
|
| 1341 |
+
"output_type": "display_data"
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"data": {
|
| 1345 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 1346 |
+
"model_id": "b0dbd13bc9dc457eae92438fd63947ae",
|
| 1347 |
+
"version_major": 2,
|
| 1348 |
+
"version_minor": 0
|
| 1349 |
+
},
|
| 1350 |
+
"text/plain": [
|
| 1351 |
+
"Generating train split: 0%| | 0/647897 [00:00<?, ? examples/s]"
|
| 1352 |
+
]
|
| 1353 |
+
},
|
| 1354 |
+
"metadata": {},
|
| 1355 |
+
"output_type": "display_data"
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"data": {
|
| 1359 |
+
"text/plain": [
|
| 1360 |
+
"DatasetDict({\n",
|
| 1361 |
+
" train: Dataset({\n",
|
| 1362 |
+
" features: ['id', 'url', 'title', 'text'],\n",
|
| 1363 |
+
" num_rows: 647897\n",
|
| 1364 |
+
" })\n",
|
| 1365 |
+
"})"
|
| 1366 |
+
]
|
| 1367 |
+
},
|
| 1368 |
+
"execution_count": 19,
|
| 1369 |
+
"metadata": {},
|
| 1370 |
+
"output_type": "execute_result"
|
| 1371 |
+
}
|
| 1372 |
+
],
|
| 1373 |
+
"source": [
|
| 1374 |
+
"datasets_wiki = load_dataset(\"wikimedia/wikipedia\", \"20231101.ko\")\n",
|
| 1375 |
+
"datasets_wiki"
|
| 1376 |
+
]
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"cell_type": "code",
|
| 1380 |
+
"execution_count": 21,
|
| 1381 |
+
"id": "1af1e848-559a-4882-a3ce-966a63edac44",
|
| 1382 |
+
"metadata": {},
|
| 1383 |
+
"outputs": [],
|
| 1384 |
+
"source": [
|
| 1385 |
+
"wiki = open(\"ko_wiki.txt\",\"w\")\n",
|
| 1386 |
+
"for item in datasets_wiki[\"train\"]:\n",
|
| 1387 |
+
" line = item[\"title\"] + \" \"+ item[\"text\"] + \"\\n\"\n",
|
| 1388 |
+
" wiki.write(line)\n",
|
| 1389 |
+
"wiki.close()"
|
| 1390 |
+
]
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"cell_type": "code",
|
| 1394 |
+
"execution_count": null,
|
| 1395 |
+
"id": "e4b3810a-f564-4a4e-8ccc-5f23f8541414",
|
| 1396 |
+
"metadata": {},
|
| 1397 |
+
"outputs": [],
|
| 1398 |
+
"source": []
|
| 1399 |
+
}
|
| 1400 |
+
],
|
| 1401 |
+
"metadata": {
|
| 1402 |
+
"kernelspec": {
|
| 1403 |
+
"display_name": "Python 3 (ipykernel)",
|
| 1404 |
+
"language": "python",
|
| 1405 |
+
"name": "python3"
|
| 1406 |
+
},
|
| 1407 |
+
"language_info": {
|
| 1408 |
+
"codemirror_mode": {
|
| 1409 |
+
"name": "ipython",
|
| 1410 |
+
"version": 3
|
| 1411 |
+
},
|
| 1412 |
+
"file_extension": ".py",
|
| 1413 |
+
"mimetype": "text/x-python",
|
| 1414 |
+
"name": "python",
|
| 1415 |
+
"nbconvert_exporter": "python",
|
| 1416 |
+
"pygments_lexer": "ipython3",
|
| 1417 |
+
"version": "3.12.3"
|
| 1418 |
+
}
|
| 1419 |
+
},
|
| 1420 |
+
"nbformat": 4,
|
| 1421 |
+
"nbformat_minor": 5
|
| 1422 |
+
}
|
get_data/get_wiki1.ipynb
ADDED
|
@@ -0,0 +1,1422 @@
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| 1 |
+
{
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| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": 1,
|
| 6 |
+
"id": "163a0ec0-2003-40f8-bf8a-63c1146f9130",
|
| 7 |
+
"metadata": {},
|
| 8 |
+
"outputs": [
|
| 9 |
+
{
|
| 10 |
+
"data": {
|
| 11 |
+
"text/plain": [
|
| 12 |
+
"\"\\nimport os\\n\\n# 设置环境变量\\nos.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'\\n\\n# 打印环境变量以确认设置成功\\nprint(os.environ.get('HF_ENDPOINT'))\\n\""
|
| 13 |
+
]
|
| 14 |
+
},
|
| 15 |
+
"execution_count": 1,
|
| 16 |
+
"metadata": {},
|
| 17 |
+
"output_type": "execute_result"
|
| 18 |
+
}
|
| 19 |
+
],
|
| 20 |
+
"source": [
|
| 21 |
+
"import subprocess\n",
|
| 22 |
+
"import os\n",
|
| 23 |
+
"\n",
|
| 24 |
+
"result = subprocess.run('bash -c \"source /etc/network_turbo && env | grep proxy\"', shell=True, capture_output=True, text=True)\n",
|
| 25 |
+
"output = result.stdout\n",
|
| 26 |
+
"for line in output.splitlines():\n",
|
| 27 |
+
" if '=' in line:\n",
|
| 28 |
+
" var, value = line.split('=', 1)\n",
|
| 29 |
+
" os.environ[var] = value\n",
|
| 30 |
+
"\n",
|
| 31 |
+
"\"\"\"\n",
|
| 32 |
+
"import os\n",
|
| 33 |
+
"\n",
|
| 34 |
+
"# 设置环境变量\n",
|
| 35 |
+
"os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'\n",
|
| 36 |
+
"\n",
|
| 37 |
+
"# 打印环境变量以确认设置成功\n",
|
| 38 |
+
"print(os.environ.get('HF_ENDPOINT'))\n",
|
| 39 |
+
"\"\"\""
|
| 40 |
+
]
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"cell_type": "code",
|
| 44 |
+
"execution_count": 2,
|
| 45 |
+
"id": "4aa15036-4be6-44ac-be6d-83389ae07c5d",
|
| 46 |
+
"metadata": {},
|
| 47 |
+
"outputs": [],
|
| 48 |
+
"source": [
|
| 49 |
+
"# from datasets import load_dataset\n",
|
| 50 |
+
"\n",
|
| 51 |
+
"# # 加载特定语言的 Wikipedia 语料\n",
|
| 52 |
+
"# langs = [\"20220301.en\", \"20220301.fr\", \"20220301.de\", \"20220301.zh\", \"20220301.ja\"]\n",
|
| 53 |
+
"# datasets = {lang: load_dataset(\"wikimedia/wikipedia\", lang, split=\"train\") for lang in langs}"
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"cell_type": "code",
|
| 58 |
+
"execution_count": 3,
|
| 59 |
+
"id": "02351414-fcad-44ba-964c-8ced0a88e609",
|
| 60 |
+
"metadata": {},
|
| 61 |
+
"outputs": [
|
| 62 |
+
{
|
| 63 |
+
"data": {
|
| 64 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 65 |
+
"model_id": "408855cc406d47a3a47803d00829febd",
|
| 66 |
+
"version_major": 2,
|
| 67 |
+
"version_minor": 0
|
| 68 |
+
},
|
| 69 |
+
"text/plain": [
|
| 70 |
+
"Loading dataset shards: 0%| | 0/41 [00:00<?, ?it/s]"
|
| 71 |
+
]
|
| 72 |
+
},
|
| 73 |
+
"metadata": {},
|
| 74 |
+
"output_type": "display_data"
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"data": {
|
| 78 |
+
"text/plain": [
|
| 79 |
+
"DatasetDict({\n",
|
| 80 |
+
" train: Dataset({\n",
|
| 81 |
+
" features: ['id', 'url', 'title', 'text'],\n",
|
| 82 |
+
" num_rows: 6458670\n",
|
| 83 |
+
" })\n",
|
| 84 |
+
"})"
|
| 85 |
+
]
|
| 86 |
+
},
|
| 87 |
+
"execution_count": 3,
|
| 88 |
+
"metadata": {},
|
| 89 |
+
"output_type": "execute_result"
|
| 90 |
+
}
|
| 91 |
+
],
|
| 92 |
+
"source": [
|
| 93 |
+
"from datasets import load_dataset\n",
|
| 94 |
+
"datasets_en = load_dataset(\"legacy-datasets/wikipedia\", \"20220301.en\")\n",
|
| 95 |
+
"datasets_en"
|
| 96 |
+
]
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"cell_type": "code",
|
| 100 |
+
"execution_count": 4,
|
| 101 |
+
"id": "f00a2e59-0aed-446e-9c7b-d21233bcdd1c",
|
| 102 |
+
"metadata": {},
|
| 103 |
+
"outputs": [],
|
| 104 |
+
"source": [
|
| 105 |
+
"wiki = open(\"en_wiki.txt\",\"w\")\n",
|
| 106 |
+
"for item in datasets_en[\"train\"]:\n",
|
| 107 |
+
" line = item[\"title\"] + \" \"+ item[\"text\"] + \"\\n\"\n",
|
| 108 |
+
" wiki.write(line)\n",
|
| 109 |
+
"wiki.close()"
|
| 110 |
+
]
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"cell_type": "code",
|
| 114 |
+
"execution_count": 5,
|
| 115 |
+
"id": "ce2039da-ae06-49de-87da-bc452ee1f252",
|
| 116 |
+
"metadata": {},
|
| 117 |
+
"outputs": [
|
| 118 |
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{
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"data": {
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| 120 |
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"application/vnd.jupyter.widget-view+json": {
|
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"model_id": "d240fe1bef53424e9ccbb8af29346f0c",
|
| 122 |
+
"version_major": 2,
|
| 123 |
+
"version_minor": 0
|
| 124 |
+
},
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| 125 |
+
"text/plain": [
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+
"train-00000-of-00015.parquet: 0%| | 0.00/764M [00:00<?, ?B/s]"
|
| 127 |
+
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+
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"model_id": "807912e6be304fcaa0786f2c863fa8ab",
|
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"version_major": 2,
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"version_minor": 0
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},
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|
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"version_minor": 0
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"version_minor": 0
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"version_minor": 0
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"version_minor": 0
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"version_minor": 0
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"version_minor": 0
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{
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{
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"version_minor": 0
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"version_minor": 0
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},
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"text/plain": [
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"version_minor": 0
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},
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"text/plain": [
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|
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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| 302 |
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "0d8e1f181e4043019e43704b685851f2",
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"version_major": 2,
|
| 305 |
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"version_minor": 0
|
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},
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"text/plain": [
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|
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+
},
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"metadata": {},
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+
"output_type": "display_data"
|
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},
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{
|
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"data": {
|
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"application/vnd.jupyter.widget-view+json": {
|
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"model_id": "fc7550b48dbe4d35b1c5e1c7ff52f0a8",
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| 318 |
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"version_major": 2,
|
| 319 |
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"version_minor": 0
|
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},
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"text/plain": [
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"train-00014-of-00015.parquet: 0%| | 0.00/220M [00:00<?, ?B/s]"
|
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]
|
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+
},
|
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"metadata": {},
|
| 326 |
+
"output_type": "display_data"
|
| 327 |
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},
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+
{
|
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"data": {
|
| 330 |
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"application/vnd.jupyter.widget-view+json": {
|
| 331 |
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"model_id": "1d84178aa296430cb2e949c37fbde0e2",
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| 332 |
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"version_major": 2,
|
| 333 |
+
"version_minor": 0
|
| 334 |
+
},
|
| 335 |
+
"text/plain": [
|
| 336 |
+
"Generating train split: 0%| | 0/2402095 [00:00<?, ? examples/s]"
|
| 337 |
+
]
|
| 338 |
+
},
|
| 339 |
+
"metadata": {},
|
| 340 |
+
"output_type": "display_data"
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"data": {
|
| 344 |
+
"text/plain": [
|
| 345 |
+
"DatasetDict({\n",
|
| 346 |
+
" train: Dataset({\n",
|
| 347 |
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" features: ['id', 'url', 'title', 'text'],\n",
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| 348 |
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| 349 |
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"datasets_wiki"
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| 371 |
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| 713 |
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"wiki = open(\"de_wiki.txt\",\"w\")\n",
|
| 714 |
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"for item in datasets_wiki[\"train\"]:\n",
|
| 715 |
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" line = item[\"title\"] + \" \"+ item[\"text\"] + \"\\n\"\n",
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| 716 |
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"datasets_wiki"
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]
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]
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"metadata": {},
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"source": [
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| 1385 |
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"wiki = open(\"ko_wiki.txt\",\"w\")\n",
|
| 1386 |
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|
| 1387 |
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| 1388 |
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train_data/.ipynb_checkpoints/test-checkpoint.txt
ADDED
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train_data/de_wiki_4g.txt
ADDED
|
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train_data/dna_4g.txt
ADDED
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version https://git-lfs.github.com/spec/v1
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size 4052518950
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train_data/en_wiki_4g.txt
ADDED
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version https://git-lfs.github.com/spec/v1
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size 3953811499
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train_data/es_wiki_4g.txt
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
|
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|
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version https://git-lfs.github.com/spec/v1
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|
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size 3928023424
|
train_data/fr_wiki_4g.txt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 4794614101
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train_data/gene_eng.txt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:0122099bd827924fd85f178305635b81ecaa54f157f2d340e09727a65320faa2
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size 12245273833
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train_data/gene_eng_zh.txt
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:b73592b4ce380b050cf6e51a9f8b5eed4a82d48f47e17f4bef811b8572a42fdf
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size 14897010606
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train_data/gene_eng_zh_de_es.txt
ADDED
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:8aed6299fd5c812d09f9c5fe6a9f7f7dec9f6bcc7a4df13703859e19949eefd6
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size 23179661005
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train_data/ja_wiki_4g.txt
ADDED
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:c3e89b190a14ec963fbccf1ef0642c4f8d2b036a6c843974b961176ec0fc3ecd
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size 4585860236
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train_data/ko_wiki_4g.txt
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f42d67971f7cfbc05b309816ec8063310dac075ec8ca1c166fa0bfd4261f9d7
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size 1344091574
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train_data/protein_4g.txt
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0921aa4a0ed580363e67953c09e82785941596f53d9c6b21a6ae6bf298c9f52
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size 4238943384
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train_data/test.txt
ADDED
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train_data/zh_wiki_4g.txt
ADDED
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@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf18bd3e5917e94e3edac7a3b8bffd73ecbcc77806db69044a29f45591e34958
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size 2651736773
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